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AI Solution Architect

SpringCube

Full time - Senior Engineer

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 1 week ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare technology organization is seeking an AI Solution Architect to drive innovative AI agent solutions within its enterprise framework. The company focuses on integrating cutting-edge AI technologies to improve operational efficiency, patient outcomes, and digital healthcare services while fostering a collaborative, knowledge-sharing environment for technical teams.

Summary
The AI Solution Architect is responsible for designing and implementing architectural components and solutions for AI agents, working closely with Generative AI Engineers to transform architectural guidelines into deployable systems. The role ensures technical excellence and promotes knowledge sharing through internal and external presentations.

Responsibilities

  • Design detailed technical solutions and blueprints for AI agents, including data flows, API integrations, and component interactions
  • Ensure adherence to established architectural patterns, coding standards, security protocols, and best practices
  • Optimize cloud platforms and AI services for performance, cost-efficiency, and scalability
  • Develop reusable agentic components, libraries, and common services
  • Provide expert-level troubleshooting for complex architectural and integration challenges
  • Oversee integration of new agents with enterprise systems, databases, and external APIs
  • Lead or contribute to technical POCs and prototypes for new AI capabilities
  • Maintain comprehensive technical documentation for architectures, design decisions, and deployments
  • Participate in code, design, and architecture reviews to ensure solution quality and maintainability
  • Mentor and provide technical guidance to Generative AI Engineers

Qualifications

Must-Have:

  • Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience)
  • 10-12 years of experience as a solution architect in cloud technologies
  • 8+ years of delivering technical presentations and leading business value sessions
  • 5+ years of experience implementing CI/CD pipelines and MLOps on cloud platforms
  • 3+ years of implementing Retrieval-Augmented Generation (RAG) models
  • Expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing
  • Proven experience mentoring engineers and leading project teams
  • Experience leading design and architecture review meetings
  • Experience designing and deploying multi-agent architectures with Agent Development Kit (ADK)

Nice-to-Have:

  • Knowledge of the Healthcare payer domain
  • Solution Architect Associate certification (preferably GCP or AWS)

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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